Prerequisite(s): MAP 2302, MAS 3106, MAT 5712 or COT 4500, or C.I. Description: Linear spaces, eigenvalue problems, linear and nonlinear optimization methods, calculus of variations and numerical; solutions of partial differential equations, compressive sampling, diffusion maps, graphical models.